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Record W1989245289 · doi:10.1158/1538-7445.am10-172

Abstract 172: A role for the demethylation of microRNA-496 in MBD2-mediated repression

2010· article· en· W1989245289 on OpenAlexaff
Sebastian Alvarado, Stephen D. Andrews, Flora Chik, Moshe Szyf

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsMcGill University
Fundersnot available
KeywordsmicroRNAGene knockdownTransfectionMethylationDNA methylationIn silicoDemethylationBiologyChromatin immunoprecipitationRegulation of gene expressionMolecular biologyCell biologyLuciferaseCell culturePsychological repressionGene expressionGenePromoterGenetics

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: MicroRNAs are small RNA molecules that have the ability to repress target mRNAs through binding in their 3’ UTR. Prior work has shown that the expression of methyl binding domain protein 2 (MBD2) induces a variety of prometastatic genes through direct demethylation. HYPOTHESIS: MBD2 turns on microRNA expression through promoter demethylation that in turn suppress other genes. RESULTS: Methylated DNA Immunoprecipitation (mDIP) and MBD2 ChIP arrays identified a subset of microRNAs that change with the overexpression and transient knockdown of MBD2 in MCF10A and MCF7 cell lines, respectively. Methylation of these microRNAs with bisulfite sequencing and validation of MBD2 binding with quantitative PCR (qPCR) revealed the possible induction of hsa-mir-496 by MBD2. Expression of mir-496 was shown to be induced in MBD2 transfected MCF10A cells and repressed in MCF7 and MDA-231 cells with qPCR. Luciferase promoter assays revealed hsa-mir-496 promoter to be regulated by methylation and driven forward by co-transfection with MBD2. In silico scans of possible targets of hsa-mir-496 identified CPEB3 as a putative target. Expression of CPEB3 was shown to be inversely proportional to MBD2 in MBD2 transfected MCF10A cell lines and transient knockdowns of MBD2 in MCF7 and MDA-231 cell lines with qPCR. CONCLUSIONS: The discovery of microRNAs has shed a whole new light on transcriptional regulation and with it has raised several questions about specific cell states. Considering that MBD2 causes complete transformation of a cell and plays a large role in tumorigenicity it is essential to characterize the roles of microRNA action with regards to MBD2 and its respective network of action. More importantly to show MBD2 as a key regulator of microRNA expression can further reinforce its role as a DNA demethylase and a key regulator of cancer. FUTURE DIRECTIONS: Future work will involve testing mir-496 action in the cell with its putative target CPEB3 using 2-O-methyl primer assays in conjunction with luciferase reporter assays in order to probe the functionality of the CPEB3 3′UTR. The aforementioned results and directions will give us a refined picture of our model as well as attempt to define a system of MBD2-microRNA action. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 172.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.394
Teacher spread0.360 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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